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For a given population with o = 10.5 lb. we want to test the null hypothesis j = 66.5 against the alternative hypothesis u #
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a)

\\P(TypeIError)=P[RejectH_{0}|H_{0}true]=1-P[AcceptH_{0}|H_{0}true]\\ \\ =1-P[64.6\leq \overline{X}\leq 68.8|\mu=66.5] =1-P[\frac{64.6-66.5}{\frac{10.5}{\sqrt{64}}}\leq Z\leq \frac{68.8-66.5}{\frac{10.5}{\sqrt{64}}}] \\ \\ =1-P[-1.45<Z<1.75]=1-[P(Z<1.75)-P(Z<-1.45)]\\ \\ =1-[P(Z<1.75)-P(Z>1.45)]=1-[P(Z<1.75)-[1-P(Z<1.45)]]\\ \\ =1-[0.95994-[1-0.92647]]=0.11359

b)

\\P(TypeIIError) =P[AcceptH_{0}|H_{1}true]\\ \\ =P[64.6\leq \overline{X}\leq 68.8|\mu=67] =P[\frac{64.6-67}{\frac{10.5}{\sqrt{64}}}\leq Z\leq \frac{68.8-67}{ \frac{10.5}{\sqrt{64}}}] \\ \\ =P[-1.83<Z<1.37]=P(Z<1.37)-P(Z<-1.83)\\ \\ =P(Z<1.37)-P(Z>1.83)=P(Z<1.37)-[1-P(Z<1.83)]\\ \\ =0.91466-[1-0.96638]=0.88104

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